At a Glance
- Tasks: Design and enhance data architecture for a bespoke software solution, tackling real business challenges.
- Company: Join a high-profile project with a focus on innovative data solutions.
- Benefits: Competitive daily rate, remote work flexibility, and a chance to shape data strategy.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Be the go-to expert in data architecture and make a significant impact on project success.
- Qualifications: Hands-on experience with Elasticsearch and large datasets is essential.
The predicted salary is between 46800 - 46800 £ per year.
You will be working as the Data Architect for a high profile bespoke software solution that is entering Phase 2 of the design work. You will design the data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles, setting the vision for the use of data. It is critical that the Data Architect has hands-on experience in designing Elasticsearch document data models (e.g. indices, documents and fields) and worked with large datasets in the realms of terabytes (including extract, ingest, map, transform data). You will review the data model for the existing solution and lead on extending the design of for Phase 2 using industry standard data modelling techniques, providing guidance and best practice for the adoption of data standards aligning to the organisation’s data strategy. Your design and outputs will be key to the successful delivery of the Phase 2 solution, working closely with the development and technical teams to support software development and the implementation of the data architecture and design as the go-to person for data related queries.
At this role level, you will:
- Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy.
- Provide input into data dictionaries.
- Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture.
Key Tasks:
- Review and analyse the source data (Digital Media and Communications Data), and work with the business and technical representatives to define mapping and transformation.
- Produce data mapping documents, and a data dictionary for the software development team.
- Review and assess existing document data model against candidate application development features to understand the data model gap.
- Design the approach to fulfilling this gap by assessing the suitability of the latest version of IES and extending to work with POLE.
- Produce and present ‘to-be’ logical data model for discussion with project team.
- Define definition of any new Elasticsearch indexes and a document data model that supports the new and existing indexes.
- Produce implementation suggestions on how the indexes support the joining of Elasticsearch queries to fulfil application development features.
- Draft and size the activities required to develop the ‘to-be’ state of the ElasticSearch indexes and document data model.
- Draft and agree Elasticsearch index delivery approach for this Agile software development project, especially if the new Elasticsearch indexes does not support existing data held within the Elasticsarch data store.
- Collaborate with the project team and be the ‘go-to’ person for data related queries.
Essential Skills:
- Experience of designing document data models in Elasticsearch (including indices, documents, fields).
- Experience of designing and working with large datasets in the realms of terabytes (including extracting, ingesting, mapping, transforming data).
Desirable Skills:
- Policing domain knowledge especially around the POLE data model.
- Experience of working with the UKIC Information Exchange Standard (IES).
Data Architect - (SC + NPPV3 Cleared) in Warrington employer: DATTalent
As a Data Architect with us, you will be part of a dynamic and innovative team dedicated to delivering high-profile bespoke software solutions. We pride ourselves on fostering a collaborative work culture that values employee growth and development, offering opportunities to enhance your skills in a supportive environment. With competitive remuneration and the flexibility of remote work, we ensure that our employees can achieve a healthy work-life balance while contributing to meaningful projects that make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - (SC + NPPV3 Cleared) in Warrington
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
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We think you need these skills to ace Data Architect - (SC + NPPV3 Cleared) in Warrington
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Architect - (SC + NPPV3 Cleared) at DATTalent, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at DATTalent.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at DATTalent
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
